IX2-0540
① SA Source
- Source: 開啟完整 SA 文章
- Section:
Klaud Cold AI Usage - Line hint:
776
Context Before
Klaud Cold AI Usage
Evidence
So, we rolled our sleeves up and decided to embrace Claude Code and begin absorbing intelligence, one token at a time to the point that we are currently spending at a $6,000/day run rate
Context After
We had been using Claude Code locally ever since it was released. But recently, we have integrated Claude Code into InferenceX development, using it for the usual tasks such as reviewing PRs, but we also have given it the ability to perform sweeps on clusters. With the workflows we setup, Claude can manually initiate runs, view the results, and iterate. This has enabled us to deploy quick fixes easily on the go via the GitHub app.
Another cool use case is using Claude to find recipes for new vLLM/SGLang images. When a new image is released, recipes sometimes need to be updated to achieve optimal performance (new environment variables, modified engine arguments, etc.) With our Claude Code integration, we simply open an issue and ask Claude to search through all commits in the image changelog to find necessary changes to be added to the recipe. This works quite well, and although it’s not perfect, it often gives a good starting point.
② Atomic Claim
團隊因此全面採用 Claude Code，目前相關支出 run rate 約為每天 6,000 美元。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"attribute": "ADOPTION_STATUS",
"context_nodes": [],
"entity": {
"id": "04_knowledge_base/Claude Code",
"label": "Claude Code"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [
"6,000"
],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [
"6,000"
],
"value_text": "團隊因此全面採用 Claude Code，目前相關支出 run rate 約為每天 6,000 美元。"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | Claude Code | 04_knowledge_base/Claude Code |
⑤ Human Review
請在 Properties 逐項確認：
- 原文 → Atomic Claim 是否忠實
- Atomic Claim → Semantic Frame 是否忠實
- Canonical Entity mapping 是否正確
- Epistemic mode 是否保留原文語氣
- 最後選擇
review_action
Review state
Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。